Product Introduction
- Definition: Moisam is a web-based geolocation optimization tool (technical category: SaaS for group coordination) that calculates optimal meeting points using real-time geolocation data and routing algorithms.
- Core Value Proposition: It eliminates group disputes over meeting locations by algorithmically determining the fairest midpoint and recommending nearby venues (primary keywords: optimal meeting point, midpoint finder, group meeting planner).
Main Features
- Automated Midpoint Calculation: Uses geocoding APIs (e.g., Google Maps) and Dijkstra’s algorithm to compute the central location minimizing total travel time/distance for all participants. Users share a unique link; each enters their starting address, and the system outputs a data-driven midpoint.
- Context-Aware Venue Recommendations: Integrates local business databases (e.g., KakaoPlace) to suggest cafés, study spots, or restaurants near the midpoint. Filters results by amenities (Wi-Fi, seating capacity) and user ratings via API calls.
- Multi-Modal Route Planning: Generates personalized transit routes (public transport, driving, walking) using real-time traffic data. Displays ETAs, transfer steps, and maps via embedded OSRM or T-map APIs.
Problems Solved
- Pain Point: Resolves inefficiency in manual midpoint searches (e.g., arguments over "fair" locations, time wasted on coordination) using algorithmic precision (keywords: group meeting disputes, inconvenient meetup spots).
- Target Audience:
- University students organizing study groups across Seoul.
- Remote teams coordinating off-site meetings in metropolitan areas.
- Social groups planning casual hangouts with dispersed members.
- Use Cases:
- Five colleagues from different Seoul districts (Gangnam, Mapo, Jongno) finding a neutral café for a workshop.
- Friends calculating a midpoint for weekend gatherings while ensuring equal travel burden.
Unique Advantages
- Differentiation: Unlike manual map searches or basic midpoint calculators, Moisam combines travel-time optimization, venue curation, and KakaoTalk integration—key for Korea’s mobile-first users. Competitors lack real-time transit/venue data synthesis.
- Key Innovation: Patented algorithm prioritizing travel-time equity over pure distance. Example: Adjusts for Seoul’s subway congestion, ensuring no participant exceeds 30 mins travel time.
Frequently Asked Questions (FAQ)
- How does Moisam protect user location data? All geolocation inputs are encrypted in transit (HTTPS/TLS) and anonymized post-calculation; data is never stored or sold per its privacy policy.
- Does Moisam support rural areas or small towns? Yes, but venue recommendations may be limited in non-urban zones. The midpoint algorithm works globally via OpenStreetMap integration.
- Is Moisam free for large groups? The core midpoint/route features are free. Premium tiers (e.g., 10+ participants) unlock advanced filters like accessibility needs or venue capacity.
- Can I use Moisam without KakaoTalk? Absolutely. Share via any platform (WhatsApp, Slack, SMS), though KakaoTalk offers one-tap link sharing for Korean users.
- How accurate are Moisam’s travel time estimates? Integrates real-time traffic/transit APIs (e.g., Seoul Metro) with 95%+ accuracy during peak hours. Updates ETAs every 2 mins.
